Title :
Spatial resolution enhancement techniques of space-borne microwave radiometer
Author :
Yu Sun ; Xiangxin Meng ; Weidong Hu ; Xin Lv ; Yu Sun
Author_Institution :
Beijing Key Lab. of Millimeter Wave & Terahertz Tech., Beijing Inst. of Technol., Beijing, China
Abstract :
Compared with the optical remote sensing, microwave remote sensing has some advantages, such as penetrating clouds and all-weather observations. But one of the limitations of microwave radiometer is the relatively low intrinsic spatial resolution. In this paper, the Backus-Gilbert inversion (BGI) method and Wiener filter deconvolution technique are applied for enhanceeing resolution of simulation images of microwave radiometric imager (MWRI) of FY-3 satellite. A set of numerical examples shows that both of them can improve the resolution of non-enhanced images, and Wiener deconvolution procedure achieves higher resolution enhancement while the resolution relevance of enhanced image is much better in BGI.
Keywords :
Wiener filters; deconvolution; geophysical image processing; image resolution; inverse problems; microwave measurement; radiometers; remote sensing; Backus-Gilbert inversion method; FY-3 satellite MWRI; Wiener deconvolution procedure; Wiener filter deconvolution technique; all weather observations; cloud penetration; intrinsic spatial resolution; microwave radiometric imager; microwave remote sensing; nonenhanced images; optical remote sensing; simulation images; spaceborne microwave radiometer; spatial resolution enhancement techniques; Antenna measurements; Microwave filters; Microwave radiometry; Noise; Spatial resolution; Wiener filters; BGI; MWRI; Resolution enhancement; Wiener filter technique; noise tuning parameter γ;
Conference_Titel :
Antennas and Propagation (APCAP), 2014 3rd Asia-Pacific Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4799-4355-5
DOI :
10.1109/APCAP.2014.6992619